Fluorescence optical detection in sedimentation velocity analytical ultracentrifugation allows the study of macromolecules at nanomolar concentrations and below. This has significant promise, for example, for the study of systems of high-affinity protein interactions. Here we describe adaptations of the direct boundary modeling analysis approach implemented in the software SEDFIT that were developed to accommodate unique characteristics of the confocal fluorescence detection system. These include spatial gradients of signal intensity due to scanner movements out of the plane of rotation, temporal intensity drifts due to instability of the laser and fluorophores, and masking of the finite excitation and detection cone by the sample holder. In an extensive series of experiments with enhanced green fluorescent protein ranging from low nanomolar to low micromolar concentrations, we show that the experimental data provide sufficient information to determine the parameters required for first-order approximation of the impact of these effects on the recorded data. Systematic deviations of fluorescence optical sedimentation velocity data analyzed using conventional sedimentation models developed for absorbance and interference optics are largely removed after these adaptations, resulting in excellent fits that highlight the high precision of fluorescence sedimentation velocity data, thus allowing a more detailed quantitative interpretation of the signal boundaries that is otherwise not possible for this system.
References
[1]
Svedberg T, Pedersen KO (1940) The ultracentrifuge. London: Oxford University Press.
[2]
Schuck P (2013) Analytical ultracentrifugation as a tool for studying protein interactions. Biophys Rev 5: 159–171 doi:10.1007/s12551-013-0106-2.
[3]
Howlett GJ, Minton AP, Rivas G (2006) Analytical ultracentrifugation for the study of protein association and assembly. Curr Opin Chem Biol 10: 430–436.
[4]
Harding SE, Rowe AJ (2010) Insight into protein-protein interactions from analytical ultracentrifugation. Biochem Soc Transact 38: 901–907 doi:10.1042/BST0380901.
[5]
Schuck P, Zhao H (2011) Editorial for the special issue of methods “Modern Analytical Ultracentrifugation”. Methods 54: 1–3 doi:10.1016/j.ymeth.2011.04.003.
[6]
MacGregor IKK, Anderson ALL, Laue TM (2004) Fluorescence detection for the XLI analytical ultracentrifuge. Biophys Chem 108: 165–185 doi:10.1016/j.bpc.2003.10.018.
[7]
Kroe RR, Laue TM (2009) NUTS and BOLTS: Applications of fluorescence-detected sedimentation. Anal Biochem 390: 1–13.
[8]
Kingsbury JS, Laue TM (2011) Fluorescence-detected sedimentation in dilute and highly concentrated solutions. Methods Enzymol 492: 283–304.
[9]
Mok Y-F, Ryan TM, Yang S, Hatters DM, Howlett GJ, et al. (2011) Sedimentation velocity analysis of amyloid oligomers and fibrils using fluorescence detection. Methods 54: 67–75.
[10]
Bailey MF, Angley LM, Perugini MA (2009) Methods for sample labeling and meniscus determination in the fluorescence-detected analytical ultracentrifuge. Anal Biochem 390: 218–220.
Zhao H, Berger AJ, Brown PH, Kumar J, Balbo A, et al. (2012) Analysis of high-affinity assembly for AMPA receptor amino-terminal domains. J Gen Physiol 139: 371–388 doi:10.1085/jgp.201210770.
[13]
Schuck P, Taraporewala ZF, McPhie P, Patton JT (2001) Rotavirus nonstructural protein NSP2 self-assembles into octamers that undergo ligand-induced conformational changes. J Biol Chem 276: 9679–9687 doi:10.1074/jbc.M009398200.
[14]
Brown PH, Balbo A, Schuck P (2009) On the analysis of sedimentation velocity in the study of protein complexes. Eur Biophys J 38: 1079–1099.
[15]
Schuck P, Demeler B (1999) Direct sedimentation analysis of interference optical data in analytical ultracentrifugation. Biophys J 76: 2288–2296.
[16]
Schuck P (2010) Some statistical properties of differencing schemes for baseline correction of sedimentation velocity data. Anal Biochem 401: 280–287.
[17]
Patterson GH, Knobel SM, Sharif WD, Kain SR, Piston DW (1997) Use of the green fluorescent protein and its mutants in quantitative fluorescence microscopy. Biophys J 73: 2782–2790 doi:10.1016/S0006-3495(97)78307-3.
[18]
Brown PH, Schuck P (2007) A new adaptive grid-size algorithm for the simulation of sedimentation velocity profiles in analytical ultracentrifugation. Comput Phys Commun 178: 105–120.
[19]
Schuck P (2000) Size-distribution analysis of macromolecules by sedimentation velocity ultracentrifugation and lamm equation modeling. Biophys J 78: 1606–1619 doi:10.1016/S0006-3495(00)76713-0.
[20]
Analytical ultracentrifuge fluorescence detection system and advanced operating system user manual. (2009). Lakewood, NJ: AVIV Biomedical Inc.
[21]
Ghirlando R, Balbo A, Piszczek G, Brown PH, Lewis MS, et al.. (2013) Improving the thermal, radial, and temporal accuracy of the analytical ultracentrifuge through external references. Anal Biochem in press. doi:10.1016/j.ab.2013.05.011.